chitra VS Text2Poster-ICASSP-22

Compare chitra vs Text2Poster-ICASSP-22 and see what are their differences.

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chitra Text2Poster-ICASSP-22
1 1
223 191
0.4% -
3.2 4.1
28 days ago 4 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

chitra

Posts with mentions or reviews of chitra. We have used some of these posts to build our list of alternatives and similar projects.

Text2Poster-ICASSP-22

Posts with mentions or reviews of Text2Poster-ICASSP-22. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing chitra and Text2Poster-ICASSP-22 you can also consider the following projects:

tf-keras-vis - Neural network visualization toolkit for tf.keras

hardnet - Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

gallery - BentoML Example Projects 🎨

Machine-Learning-Guide - Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

review_object_detection_metrics - Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

affnet - Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

pytest-visual - A visual testing framework for ML with automated change detection